{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- pandas 是基于　Numpy 衍生出的一种工具，　用于解决数据分析问题，它纳入了大量的库和一些标准的数据模型，提供了可用于高效操作大型数据集的工具，是使　Python 成为强大而高效的数据分析工具的重要因素之一。\n",
    "\n",
    "- 对金融数据大部分处理是依赖于　Pandas实现的。\n",
    "\n",
    "- Pandas 数据结构主要分为三种，　Series(一维数组)、　DataFrame(二维表格型数据结构)、Panel(三维数组)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Series"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Series 指 一 维数组,与 NumPy 中的 一 维 Array 类似。 Series 、 Array 与 Python 基 本的\n",
    "数据结构 List 也 很相近,其区别是 : 在 List 中的 元素可以是不同的数据类型,而在 Array\n",
    "和 Series 中则只允许 存储相同的数据类型 ,这 样可以更有效地使用 内 存,提高运算效率 。\n",
    "\n",
    "- Se ri es 增加了对应 的 标签( label )以用 于索引,可以包含 0 个 或者多个任意数据类型\n",
    "的 实 体 。 其中,标签索引赋予 了 Series 强大的存取 元素功能 。 除通过位置外, Series 还允\n",
    "许通过索引标签进行元素存取 :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    40\n",
       "1    12\n",
       "2    -3\n",
       "3    25\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj = pd.Series([40, 12, -3, 25])\n",
    "obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=4, step=1)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([40, 12, -3, 25])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    40\n",
       "b    12\n",
       "c    -3\n",
       "d    25\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# 可以在　Series 建立时，就指定索引\n",
    "\n",
    "obj = pd.Series([40, 12, -3, 25], index = ['a', 'b', 'c', 'd'])\n",
    "obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-3"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj['c']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    40\n",
       "d    25\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对于　Series 的各种计算，其结果也会保留　index:\n",
    "\n",
    "obj[obj>15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     4.000000\n",
       "mean     18.500000\n",
       "std      18.339393\n",
       "min      -3.000000\n",
       "25%       8.250000\n",
       "50%      18.500000\n",
       "75%      28.750000\n",
       "max      40.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对于　Series 的各种统计\n",
    "\n",
    "obj.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18.5"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 40, 'b': 12, 'c': -3, 'd': 25}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# 另外　Series 可以被转换为　字典\n",
    "\n",
    "obj.to_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>one</th>\n",
       "      <th>two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>2.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>3.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d</th>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   one  two\n",
       "a  1.0    5\n",
       "b  2.0    6\n",
       "c  3.0    7\n",
       "d  NaN    8"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "d = {'one': pd.Series([1, 2, 3], index = ['a', 'b', 'c']), 'two':pd.Series([5, 6, 7, 8], index=['a', 'b', 'c', 'd'])}\n",
    "\n",
    "df = pd.DataFrame(d)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2 输出设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# 在　Pandas 中通过　set_option 设置　Pandas 的输出格式，　例如，最多显示的行数，　列数等：\n",
    "import pandas as pd\n",
    "\n",
    "pd.set_option(\"display.max_rows\", 100)\n",
    "pd.set_option(\"display.max_columns\", 20)\n",
    "pd.set_option(\"precision\", 7)\n",
    "pd.set_option(\"large_repr\", 'truncate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.3 Pandas 数据读取与写入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>000002</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>000004</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>000005</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>000006</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>000007</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "0           0  000001         平安银行  2017-06-20        9.12\n",
       "1           1  000002          万科A  2017-06-20       21.03\n",
       "2           2  000004         国农科技  2017-06-20       27.03\n",
       "3           3  000005         世纪星源  2017-06-20        5.45\n",
       "4           4  000006         深振业A  2017-06-20        8.87\n",
       "5           5  000007          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# pandas 可以方便的读取　本地文件 csv、txt、xlsx\n",
    "\n",
    "a = pd.read_csv('closeprice.csv', encoding='gbk', dtype={'ticker':str})\n",
    "a\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 我们可以自行　输入　pd.read_, 使用　Tab 自动完成功能查看　Pandas 可以读取的　数据类型。\n",
    "- 同理，　可以使用　to_, 将　DataFrame 输出到文件中："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "a.to_excel('closeprice.xls')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.4 数据集快速描述性统计分析\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6.0000000</td>\n",
       "      <td>6.0000000</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6.0000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.5000000</td>\n",
       "      <td>4.1666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.5616667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.8708287</td>\n",
       "      <td>2.3166067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.2950550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0000000</td>\n",
       "      <td>1.0000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.4500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.2500000</td>\n",
       "      <td>2.5000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.9325000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.5000000</td>\n",
       "      <td>4.5000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.4950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.7500000</td>\n",
       "      <td>5.7500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.7400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.0000000</td>\n",
       "      <td>7.0000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0300000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0     ticker secShortName   tradeDate  closePrice\n",
       "count    6.0000000  6.0000000            6           6   6.0000000\n",
       "unique         NaN        NaN            6           1         NaN\n",
       "top            NaN        NaN          万科A  2017-06-20         NaN\n",
       "freq           NaN        NaN            1           6         NaN\n",
       "mean     2.5000000  4.1666667          NaN         NaN  14.5616667\n",
       "std      1.8708287  2.3166067          NaN         NaN   8.2950550\n",
       "min      0.0000000  1.0000000          NaN         NaN   5.4500000\n",
       "25%      1.2500000  2.5000000          NaN         NaN   8.9325000\n",
       "50%      2.5000000  4.5000000          NaN         NaN  12.4950000\n",
       "75%      3.7500000  5.7500000          NaN         NaN  19.7400000\n",
       "max      5.0000000  7.0000000          NaN         NaN  27.0300000"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = pd.read_csv('closeprice.csv', encoding='gbk')\n",
    "data.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6 entries, 0 to 5\n",
      "Data columns (total 5 columns):\n",
      "Unnamed: 0      6 non-null int64\n",
      "ticker          6 non-null int64\n",
      "secShortName    6 non-null object\n",
      "tradeDate       6 non-null object\n",
      "closePrice      6 non-null float64\n",
      "dtypes: float64(1), int64(2), object(2)\n",
      "memory usage: 320.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "data.info() # 会展示数据类型、行列数和　DataFrame 占用的内存："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.5 根据已有的列建立新列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "0           0       1         平安银行  2017-06-20        9.12\n",
       "1           1       2          万科A  2017-06-20       21.03\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "3           3       5         世纪星源  2017-06-20        5.45\n",
       "4           4       6         深振业A  2017-06-20        8.87\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = pd.read_csv('closeprice.csv', encoding='gbk')\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "      <th>ind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "      <td>房地产</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "      <td>房地产</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "      <td>采掘</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "      <td>休闲服务</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice   ind\n",
       "0           0       1         平安银行  2017-06-20        9.12    银行\n",
       "1           1       2          万科A  2017-06-20       21.03   房地产\n",
       "2           2       4         国农科技  2017-06-20       27.03  医药生物\n",
       "3           3       5         世纪星源  2017-06-20        5.45   房地产\n",
       "4           4       6         深振业A  2017-06-20        8.87    采掘\n",
       "5           5       7          全新好  2017-06-20       15.87  休闲服务"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用　map 函数映射一个字典即可\n",
    "\n",
    "b = {1:'银行', 2:'房地产', 4:'医药生物', 5:'房地产', 6:'采掘', 7:'休闲服务', 8:'机械设备', 3:'航空'}\n",
    "a['ind'] = a.ticker.map(b)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 可以使用 list 给出　需要排列的列，　同时给出是升序还是降序\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame({'group':['a', 'a', 'a', 'b', 'b', 'b', 'c', 'c', 'c'], 'ounces':[4, 3, 12, 6, 7.5, 8, 3, 5, 6]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.sort_values(by = ['group', 'ounces'], ascending=[False, True], inplace = True)\n",
    "# 先按照　group 降序排列，　再按照　ounces 升序排列，　参数 inplace = True 直接将排序后的结果存在　data中，　即直接用排列好的数据覆盖原始数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>group</th>\n",
       "      <th>ounces</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>c</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>c</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>c</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>b</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>b</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>b</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>a</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  group  ounces\n",
       "6     c     3.0\n",
       "7     c     5.0\n",
       "8     c     6.0\n",
       "3     b     6.0\n",
       "4     b     7.5\n",
       "5     b     8.0\n",
       "1     a     3.0\n",
       "0     a     4.0\n",
       "2     a    12.0"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.6DataFrame 去重 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame({'k1':['one'] *3 + ['two'] *4, 'k2':[3, 2, 1, 3, 4, 5, 4]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>k1</th>\n",
       "      <th>k2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>one</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>one</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>one</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>two</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>two</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>two</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    k1  k2\n",
       "0  one   3\n",
       "1  one   2\n",
       "2  one   1\n",
       "3  two   3\n",
       "4  two   4\n",
       "5  two   5\n",
       "6  two   4"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>k1</th>\n",
       "      <th>k2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>one</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>one</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>one</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>two</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>two</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    k1  k2\n",
       "0  one   3\n",
       "1  one   2\n",
       "2  one   1\n",
       "3  two   3\n",
       "4  two   4\n",
       "5  two   5"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop_duplicates() # 不加　任何参数，　pandas 会将　完全相同的行去重"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>k1</th>\n",
       "      <th>k2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>two</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    k1  k2\n",
       "6  two   4"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.duplicated()] # 查看重复行　的方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>k1</th>\n",
       "      <th>k2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>one</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>two</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    k1  k2\n",
       "2  one   1\n",
       "6  two   4"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop_duplicates(subset=['k1'], keep='last')\n",
    "# 当设置 subset 为 kl 时,只 要 k l 重复, Pandas 就认为 是重复 的, 可以通过 keep 参 数\n",
    "#确定 需要保留 哪个, 一般在使用 keep 时先排序。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.7 删除已有列"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 如果我 们 不再需要某 一 列, 就可以对该列进行删除操作 :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "0           0       1         平安银行  2017-06-20        9.12\n",
       "1           1       2          万科A  2017-06-20       21.03\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "3           3       5         世纪星源  2017-06-20        5.45\n",
       "4           4       6         深振业A  2017-06-20        8.87\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = pd.read_csv('closeprice.csv', encoding='gbk')\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticker secShortName   tradeDate  closePrice\n",
       "0       1         平安银行  2017-06-20        9.12\n",
       "1       2          万科A  2017-06-20       21.03\n",
       "2       4         国农科技  2017-06-20       27.03\n",
       "3       5         世纪星源  2017-06-20        5.45\n",
       "4       6         深振业A  2017-06-20        8.87\n",
       "5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.drop(['Unnamed: 0'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticker secShortName   tradeDate  closePrice\n",
       "0       1         平安银行  2017-06-20        9.12\n",
       "1       2          万科A  2017-06-20       21.03\n",
       "2       4         国农科技  2017-06-20       27.03\n",
       "3       5         世纪星源  2017-06-20        5.45\n",
       "4       6         深振业A  2017-06-20        8.87\n",
       "5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.drop('Unnamed: 0', axis='columns')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- axis='columns'  或者　axis=1 都是指按照列　来处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.8 Pandas 替换数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "0         0.0     1.0         平安银行  2017-06-20        9.12\n",
       "1         1.0     NaN          万科A  2017-06-20       21.03\n",
       "2         NaN     4.0         国农科技  2017-06-20       27.03\n",
       "3         3.0     5.0         世纪星源  2017-06-20        5.45\n",
       "4         4.0     6.0         深振业A  2017-06-20        8.87\n",
       "5         5.0     7.0          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "a.replace(2, np.nan) # 对数据中　为2 的用　np.nan 进行替换"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.9 DataFrame 重命名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 也可以重命名某些列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  ticker secShortName   tradeDate  closePrice\n",
       "0   0       1         平安银行  2017-06-20        9.12\n",
       "1   1       2          万科A  2017-06-20       21.03\n",
       "2   2       4         国农科技  2017-06-20       27.03\n",
       "3   3       5         世纪星源  2017-06-20        5.45\n",
       "4   4       6         深振业A  2017-06-20        8.87\n",
       "5   5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.rename(columns={'Unnamed: 0':'id'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.10 切片与筛选\n",
    "- DataFrame 有三种切片方法，　分别为　loc、iloc 和　ix\n",
    "- df.loc 的 第 l 个 参数是行标签 , 第 2 个 参数为列标签(为可选参数,默认为所有列标\n",
    "签) ,这两个 参数既可 以 是 列 表 ,也可以 是单 个 字符 。 如果这两个参数都为列表,则返回\n",
    "DataFrame , 否 则 返回 Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = pd.read_csv('closeprice.csv', encoding='gbk')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "0           0       1         平安银行  2017-06-20        9.12\n",
       "1           1       2          万科A  2017-06-20       21.03\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "3           3       5         世纪星源  2017-06-20        5.45\n",
       "4           4       6         深振业A  2017-06-20        8.87\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>9.12</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>21.03</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>27.03</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticker  closePrice\n",
       "0       1        9.12\n",
       "1       2       21.03\n",
       "2       4       27.03\n",
       "3       5        5.45\n",
       "4       6        8.87\n",
       "5       7       15.87"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.loc[:, ['ticker', 'closePrice']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "a.loc [”中的“:” 表示所有的行。\n",
    "df.loc 的 第 1 个 参数是行的位 置 ,第 2 个参数是列的位 置 (为可选参数,默认为所有\n",
    "列标 签) , 这两个参数既可以是列表,也可以是单个字符 。 如果两个参数都是列表,贝。 返\n",
    "回 DataFrame,\n",
    "否 则 返回 Series:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>5.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticker  closePrice\n",
       "0       1        9.12\n",
       "1       2       21.03\n",
       "2       4       27.03\n",
       "3       5        5.45"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.iloc[:4, [1, 4]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "其中, l oc 为 location 的缩写, iloc 为 integer location 的缩写 。\n",
    "\n",
    "更广义的切片方式是使用 .ix , 它会自动根据我 们 给出的索引类型判断是使用位置还是\n",
    "标签进行切片 :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/colby/sd_480/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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      "text/plain": [
       "   ticker  closePrice\n",
       "0       1        9.12\n",
       "1       2       21.03\n",
       "2       4       27.03\n",
       "3       5        5.45\n",
       "4       6        8.87"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.ix[:4, ['ticker', 'closePrice']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**.ix已弃用**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "      <td>1</td>\n",
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       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
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       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "1           1       2          万科A  2017-06-20       21.03\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[a.closePrice>10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
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       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
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       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
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     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[(a.closePrice>10) & (a.ticker>3)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 际上,因 为 一 个 boo I 类型 的 数据乘 以 l ,可以 变为 1 ,0 ,所以可 以将上述 条 件 写为 :\n",
    "\n",
    "- 该做法可以用于条件筛选，比如在至少或至多满足几个条件时进行筛选"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>closePrice</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[(a.closePrice>10)*1 + (a.ticker>3)*1 == 2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.11 连续型变量分组\n",
    "\n",
    "有时我们把数值聚集在 一 起更有意义,例如,如果要为交通状况(路上的汽车数 量 )\n",
    "根据时间(分钟数据〉建模,则具体的分钟可能不重要,而时段如上午、下午、傍晚、夜\n",
    "间、深夜能更好地表现预测结果,这样建模会更直观,也能避免过度拟合:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ticker</th>\n",
       "      <th>secShortName</th>\n",
       "      <th>tradeDate</th>\n",
       "      <th>closePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>万科A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>21.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>27.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>深振业A</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>8.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>全新好</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>15.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  ticker secShortName   tradeDate  closePrice\n",
       "0           0       1         平安银行  2017-06-20        9.12\n",
       "1           1       2          万科A  2017-06-20       21.03\n",
       "2           2       4         国农科技  2017-06-20       27.03\n",
       "3           3       5         世纪星源  2017-06-20        5.45\n",
       "4           4       6         深振业A  2017-06-20        8.87\n",
       "5           5       7          全新好  2017-06-20       15.87"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     (9, 10]\n",
       "1    (20, 30]\n",
       "2    (20, 30]\n",
       "3      (4, 9]\n",
       "4      (4, 9]\n",
       "5    (10, 20]\n",
       "Name: closePrice, dtype: category\n",
       "Categories (4, interval[int64]): [(4, 9] < (9, 10] < (10, 20] < (20, 30]]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bins=[4, 9, 10, 20, 30]\n",
    "cat = pd.cut(a.closePrice,bins)\n",
    "cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 30]    2\n",
       "(4, 9]      2\n",
       "(10, 20]    1\n",
       "(9, 10]     1\n",
       "Name: closePrice, dtype: int64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对分组后的结果进行统计\n",
    "\n",
    "pd.value_counts(cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 也可以给定各个分组的标签并进行切分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Middle_1\n",
       "1        high\n",
       "2        high\n",
       "3         low\n",
       "4         low\n",
       "5    Middle_2\n",
       "Name: closePrice, dtype: category\n",
       "Categories (4, object): [low < Middle_1 < Middle_2 < high]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_names = ['low', 'Middle_1', 'Middle_2', 'high']\n",
    "pd.cut(a.closePrice, bins, labels=group_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.12 Pandas 分组技术\n",
    "\n",
    "在数据分析 过程中,我们往往需要先将数据拆分,然后在其对应的每个分组中进行运\n",
    "算,比如,计算各行 业 内的)投票数 量 、平均市值,或者从中挑选市盈率最低的股票等。 P a nd as\n",
    "中的 gro up b y 函数恰好为我们提供了 一 个高效的数据分组运算功能,让我们能以一种轻松、\n",
    "自然的方式对数据集进行切分及再聚合等操作,可将其称为“核 心 功能”。接下来看看\n",
    "groupby 函数的具体操作流程 。\n"
   ]
  },
  {
   "attachments": {
    "2020-10-17%2018-39-57%20%E7%9A%84%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![2020-10-17%2018-39-57%20%E7%9A%84%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE.png](attachment:2020-10-17%2018-39-57%20%E7%9A%84%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('20170930.csv', dtype={'ticker':str, 'holdingTicker':str,}, encoding='GBK')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reportDate</th>\n",
       "      <th>ticker</th>\n",
       "      <th>holdingTicker</th>\n",
       "      <th>marketValue</th>\n",
       "      <th>industryName1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>002236</td>\n",
       "      <td>237401519.41</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>000568</td>\n",
       "      <td>216279076.20</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>300156</td>\n",
       "      <td>160320000.00</td>\n",
       "      <td>公用事业</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>603799</td>\n",
       "      <td>153879981.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>600056</td>\n",
       "      <td>151963791.62</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>601988</td>\n",
       "      <td>138394013.60</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>000858</td>\n",
       "      <td>131744515.52</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>300477</td>\n",
       "      <td>119755628.76</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>601166</td>\n",
       "      <td>105048853.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000001</td>\n",
       "      <td>600779</td>\n",
       "      <td>102455696.22</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000003</td>\n",
       "      <td>600622</td>\n",
       "      <td>1978000.00</td>\n",
       "      <td>房地产</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000003</td>\n",
       "      <td>600884</td>\n",
       "      <td>1930106.52</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000003</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000003</td>\n",
       "      <td>600060</td>\n",
       "      <td>157100.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000004</td>\n",
       "      <td>600622</td>\n",
       "      <td>1978000.00</td>\n",
       "      <td>房地产</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000004</td>\n",
       "      <td>600884</td>\n",
       "      <td>1930106.52</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000004</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000004</td>\n",
       "      <td>600060</td>\n",
       "      <td>157100.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000005</td>\n",
       "      <td>002241</td>\n",
       "      <td>1277144.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>600000</td>\n",
       "      <td>1287000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>601601</td>\n",
       "      <td>1034040.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>000001</td>\n",
       "      <td>888800.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>601009</td>\n",
       "      <td>791000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>601336</td>\n",
       "      <td>680040.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>601328</td>\n",
       "      <td>632000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>000776</td>\n",
       "      <td>569400.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>601688</td>\n",
       "      <td>565500.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000007</td>\n",
       "      <td>601318</td>\n",
       "      <td>541600.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>002460</td>\n",
       "      <td>453960.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>601012</td>\n",
       "      <td>351282.40</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>300136</td>\n",
       "      <td>327600.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>600487</td>\n",
       "      <td>326800.00</td>\n",
       "      <td>通信</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>600516</td>\n",
       "      <td>314665.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>603799</td>\n",
       "      <td>265263.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>600525</td>\n",
       "      <td>262680.00</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>002340</td>\n",
       "      <td>231741.60</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>002405</td>\n",
       "      <td>230580.00</td>\n",
       "      <td>计算机</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000008</td>\n",
       "      <td>600219</td>\n",
       "      <td>221844.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>600690</td>\n",
       "      <td>178062000.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>600019</td>\n",
       "      <td>126368142.76</td>\n",
       "      <td>钢铁</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>000333</td>\n",
       "      <td>124335237.69</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>000568</td>\n",
       "      <td>117802650.90</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>000963</td>\n",
       "      <td>112857172.54</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>600009</td>\n",
       "      <td>111648400.74</td>\n",
       "      <td>交通运输</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>600004</td>\n",
       "      <td>108839121.93</td>\n",
       "      <td>交通运输</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>000858</td>\n",
       "      <td>108832000.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>600036</td>\n",
       "      <td>102197521.65</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000011</td>\n",
       "      <td>600309</td>\n",
       "      <td>96102000.00</td>\n",
       "      <td>化工</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>000014</td>\n",
       "      <td>601336</td>\n",
       "      <td>5166887.25</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38768</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>600519</td>\n",
       "      <td>4501397.44</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38769</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>000333</td>\n",
       "      <td>3407579.28</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38770</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>000651</td>\n",
       "      <td>3135580.70</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38771</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>600887</td>\n",
       "      <td>2852575.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38772</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>601668</td>\n",
       "      <td>2353964.80</td>\n",
       "      <td>建筑装饰</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38773</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>002415</td>\n",
       "      <td>2026624.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38774</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>600104</td>\n",
       "      <td>1924521.93</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38775</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>000858</td>\n",
       "      <td>1867614.40</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38776</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>000725</td>\n",
       "      <td>1785269.20</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38777</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>740101</td>\n",
       "      <td>600276</td>\n",
       "      <td>1735213.22</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38778</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>300115</td>\n",
       "      <td>4967086.74</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38779</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>600487</td>\n",
       "      <td>4332198.40</td>\n",
       "      <td>通信</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38780</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>600581</td>\n",
       "      <td>4158150.00</td>\n",
       "      <td>钢铁</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38781</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>002024</td>\n",
       "      <td>4087200.00</td>\n",
       "      <td>商业贸易</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38782</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>002008</td>\n",
       "      <td>3941440.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38783</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>000488</td>\n",
       "      <td>3379803.11</td>\n",
       "      <td>轻工制造</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38784</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>002530</td>\n",
       "      <td>3218750.00</td>\n",
       "      <td>机械设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38785</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>300296</td>\n",
       "      <td>2592559.45</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38786</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>300145</td>\n",
       "      <td>2540859.48</td>\n",
       "      <td>机械设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38787</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750001</td>\n",
       "      <td>002128</td>\n",
       "      <td>2506517.00</td>\n",
       "      <td>采掘</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38788</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600487</td>\n",
       "      <td>5504000.00</td>\n",
       "      <td>通信</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38789</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600887</td>\n",
       "      <td>5500000.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38790</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600036</td>\n",
       "      <td>4611775.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38791</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>601799</td>\n",
       "      <td>4235550.00</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38792</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>601088</td>\n",
       "      <td>4185906.00</td>\n",
       "      <td>采掘</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38793</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600138</td>\n",
       "      <td>4114560.00</td>\n",
       "      <td>休闲服务</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38794</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600519</td>\n",
       "      <td>3623480.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38795</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600028</td>\n",
       "      <td>3540000.00</td>\n",
       "      <td>化工</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38796</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>601012</td>\n",
       "      <td>3241700.00</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38797</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>750005</td>\n",
       "      <td>600066</td>\n",
       "      <td>2400960.00</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38798</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>002185</td>\n",
       "      <td>20974077.10</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38799</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>000963</td>\n",
       "      <td>19626037.20</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38800</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>601688</td>\n",
       "      <td>18096000.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38801</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>000001</td>\n",
       "      <td>17776000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38802</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>600887</td>\n",
       "      <td>16500000.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38803</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>601288</td>\n",
       "      <td>15280000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38804</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>000858</td>\n",
       "      <td>14892800.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38805</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>000998</td>\n",
       "      <td>14769274.00</td>\n",
       "      <td>农林牧渔</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38806</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>600585</td>\n",
       "      <td>13733500.00</td>\n",
       "      <td>建筑材料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38807</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>762001</td>\n",
       "      <td>300296</td>\n",
       "      <td>12090000.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38808</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>600519</td>\n",
       "      <td>3105840.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38809</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>000333</td>\n",
       "      <td>1546650.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38810</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>000858</td>\n",
       "      <td>1546560.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38811</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>002572</td>\n",
       "      <td>1512000.00</td>\n",
       "      <td>轻工制造</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38812</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>600066</td>\n",
       "      <td>1476000.00</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38813</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>002372</td>\n",
       "      <td>1384000.00</td>\n",
       "      <td>建筑材料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38814</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>000423</td>\n",
       "      <td>1298600.00</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38815</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>603288</td>\n",
       "      <td>1279530.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38816</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>002001</td>\n",
       "      <td>1278500.00</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38817</th>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>770001</td>\n",
       "      <td>002508</td>\n",
       "      <td>1267500.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38818 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       reportDate  ticker holdingTicker   marketValue industryName1\n",
       "0      2017-09-30  000001        002236  237401519.41            电子\n",
       "1      2017-09-30  000001        000568  216279076.20          食品饮料\n",
       "2      2017-09-30  000001        300156  160320000.00          公用事业\n",
       "3      2017-09-30  000001        603799  153879981.00          有色金属\n",
       "4      2017-09-30  000001        600056  151963791.62          医药生物\n",
       "5      2017-09-30  000001        601988  138394013.60            银行\n",
       "6      2017-09-30  000001        000858  131744515.52          食品饮料\n",
       "7      2017-09-30  000001        300477  119755628.76          电气设备\n",
       "8      2017-09-30  000001        601166  105048853.00            银行\n",
       "9      2017-09-30  000001        600779  102455696.22          食品饮料\n",
       "10     2017-09-30  000003        600622    1978000.00           房地产\n",
       "11     2017-09-30  000003        600884    1930106.52            电子\n",
       "12     2017-09-30  000003        600036    1277500.00            银行\n",
       "13     2017-09-30  000003        600060     157100.00          家用电器\n",
       "14     2017-09-30  000004        600622    1978000.00           房地产\n",
       "15     2017-09-30  000004        600884    1930106.52            电子\n",
       "16     2017-09-30  000004        600036    1277500.00            银行\n",
       "17     2017-09-30  000004        600060     157100.00          家用电器\n",
       "18     2017-09-30  000005        002241    1277144.00            电子\n",
       "19     2017-09-30  000007        600000    1287000.00            银行\n",
       "20     2017-09-30  000007        600036    1277500.00            银行\n",
       "21     2017-09-30  000007        601601    1034040.00          非银金融\n",
       "22     2017-09-30  000007        000001     888800.00            银行\n",
       "23     2017-09-30  000007        601009     791000.00            银行\n",
       "24     2017-09-30  000007        601336     680040.00          非银金融\n",
       "25     2017-09-30  000007        601328     632000.00            银行\n",
       "26     2017-09-30  000007        000776     569400.00          非银金融\n",
       "27     2017-09-30  000007        601688     565500.00          非银金融\n",
       "28     2017-09-30  000007        601318     541600.00          非银金融\n",
       "29     2017-09-30  000008        002460     453960.00          有色金属\n",
       "30     2017-09-30  000008        601012     351282.40          电气设备\n",
       "31     2017-09-30  000008        300136     327600.00            电子\n",
       "32     2017-09-30  000008        600487     326800.00            通信\n",
       "33     2017-09-30  000008        600516     314665.00          有色金属\n",
       "34     2017-09-30  000008        603799     265263.00          有色金属\n",
       "35     2017-09-30  000008        600525     262680.00          电气设备\n",
       "36     2017-09-30  000008        002340     231741.60          有色金属\n",
       "37     2017-09-30  000008        002405     230580.00           计算机\n",
       "38     2017-09-30  000008        600219     221844.00          有色金属\n",
       "39     2017-09-30  000011        600690  178062000.00          家用电器\n",
       "40     2017-09-30  000011        600019  126368142.76            钢铁\n",
       "41     2017-09-30  000011        000333  124335237.69          家用电器\n",
       "42     2017-09-30  000011        000568  117802650.90          食品饮料\n",
       "43     2017-09-30  000011        000963  112857172.54          医药生物\n",
       "44     2017-09-30  000011        600009  111648400.74          交通运输\n",
       "45     2017-09-30  000011        600004  108839121.93          交通运输\n",
       "46     2017-09-30  000011        000858  108832000.00          食品饮料\n",
       "47     2017-09-30  000011        600036  102197521.65            银行\n",
       "48     2017-09-30  000011        600309   96102000.00            化工\n",
       "49     2017-09-30  000014        601336    5166887.25          非银金融\n",
       "...           ...     ...           ...           ...           ...\n",
       "38768  2017-09-30  740101        600519    4501397.44          食品饮料\n",
       "38769  2017-09-30  740101        000333    3407579.28          家用电器\n",
       "38770  2017-09-30  740101        000651    3135580.70          家用电器\n",
       "38771  2017-09-30  740101        600887    2852575.00          食品饮料\n",
       "38772  2017-09-30  740101        601668    2353964.80          建筑装饰\n",
       "38773  2017-09-30  740101        002415    2026624.00            电子\n",
       "38774  2017-09-30  740101        600104    1924521.93            汽车\n",
       "38775  2017-09-30  740101        000858    1867614.40          食品饮料\n",
       "38776  2017-09-30  740101        000725    1785269.20            电子\n",
       "38777  2017-09-30  740101        600276    1735213.22          医药生物\n",
       "38778  2017-09-30  750001        300115    4967086.74            电子\n",
       "38779  2017-09-30  750001        600487    4332198.40            通信\n",
       "38780  2017-09-30  750001        600581    4158150.00            钢铁\n",
       "38781  2017-09-30  750001        002024    4087200.00          商业贸易\n",
       "38782  2017-09-30  750001        002008    3941440.00            电子\n",
       "38783  2017-09-30  750001        000488    3379803.11          轻工制造\n",
       "38784  2017-09-30  750001        002530    3218750.00          机械设备\n",
       "38785  2017-09-30  750001        300296    2592559.45            电子\n",
       "38786  2017-09-30  750001        300145    2540859.48          机械设备\n",
       "38787  2017-09-30  750001        002128    2506517.00            采掘\n",
       "38788  2017-09-30  750005        600487    5504000.00            通信\n",
       "38789  2017-09-30  750005        600887    5500000.00          食品饮料\n",
       "38790  2017-09-30  750005        600036    4611775.00            银行\n",
       "38791  2017-09-30  750005        601799    4235550.00            汽车\n",
       "38792  2017-09-30  750005        601088    4185906.00            采掘\n",
       "38793  2017-09-30  750005        600138    4114560.00          休闲服务\n",
       "38794  2017-09-30  750005        600519    3623480.00          食品饮料\n",
       "38795  2017-09-30  750005        600028    3540000.00            化工\n",
       "38796  2017-09-30  750005        601012    3241700.00          电气设备\n",
       "38797  2017-09-30  750005        600066    2400960.00            汽车\n",
       "38798  2017-09-30  762001        002185   20974077.10            电子\n",
       "38799  2017-09-30  762001        000963   19626037.20          医药生物\n",
       "38800  2017-09-30  762001        601688   18096000.00          非银金融\n",
       "38801  2017-09-30  762001        000001   17776000.00            银行\n",
       "38802  2017-09-30  762001        600887   16500000.00          食品饮料\n",
       "38803  2017-09-30  762001        601288   15280000.00            银行\n",
       "38804  2017-09-30  762001        000858   14892800.00          食品饮料\n",
       "38805  2017-09-30  762001        000998   14769274.00          农林牧渔\n",
       "38806  2017-09-30  762001        600585   13733500.00          建筑材料\n",
       "38807  2017-09-30  762001        300296   12090000.00            电子\n",
       "38808  2017-09-30  770001        600519    3105840.00          食品饮料\n",
       "38809  2017-09-30  770001        000333    1546650.00          家用电器\n",
       "38810  2017-09-30  770001        000858    1546560.00          食品饮料\n",
       "38811  2017-09-30  770001        002572    1512000.00          轻工制造\n",
       "38812  2017-09-30  770001        600066    1476000.00            汽车\n",
       "38813  2017-09-30  770001        002372    1384000.00          建筑材料\n",
       "38814  2017-09-30  770001        000423    1298600.00          医药生物\n",
       "38815  2017-09-30  770001        603288    1279530.00          食品饮料\n",
       "38816  2017-09-30  770001        002001    1278500.00          医药生物\n",
       "38817  2017-09-30  770001        002508    1267500.00          家用电器\n",
       "\n",
       "[38818 rows x 5 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[['ticker', 'holdingTicker', 'marketValue', 'industryName1']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>holdingTicker</th>\n",
       "      <th>marketValue</th>\n",
       "      <th>industryName1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000001</td>\n",
       "      <td>002236</td>\n",
       "      <td>237401519.41</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000001</td>\n",
       "      <td>000568</td>\n",
       "      <td>216279076.20</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000001</td>\n",
       "      <td>300156</td>\n",
       "      <td>160320000.00</td>\n",
       "      <td>公用事业</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000001</td>\n",
       "      <td>603799</td>\n",
       "      <td>153879981.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000001</td>\n",
       "      <td>600056</td>\n",
       "      <td>151963791.62</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000001</td>\n",
       "      <td>601988</td>\n",
       "      <td>138394013.60</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000001</td>\n",
       "      <td>000858</td>\n",
       "      <td>131744515.52</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000001</td>\n",
       "      <td>300477</td>\n",
       "      <td>119755628.76</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>000001</td>\n",
       "      <td>601166</td>\n",
       "      <td>105048853.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>000001</td>\n",
       "      <td>600779</td>\n",
       "      <td>102455696.22</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000003</td>\n",
       "      <td>600622</td>\n",
       "      <td>1978000.00</td>\n",
       "      <td>房地产</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000003</td>\n",
       "      <td>600884</td>\n",
       "      <td>1930106.52</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>000003</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>000003</td>\n",
       "      <td>600060</td>\n",
       "      <td>157100.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>000004</td>\n",
       "      <td>600622</td>\n",
       "      <td>1978000.00</td>\n",
       "      <td>房地产</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>000004</td>\n",
       "      <td>600884</td>\n",
       "      <td>1930106.52</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>000004</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>000004</td>\n",
       "      <td>600060</td>\n",
       "      <td>157100.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>000005</td>\n",
       "      <td>002241</td>\n",
       "      <td>1277144.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>000007</td>\n",
       "      <td>600000</td>\n",
       "      <td>1287000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>000007</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>000007</td>\n",
       "      <td>601601</td>\n",
       "      <td>1034040.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>000007</td>\n",
       "      <td>000001</td>\n",
       "      <td>888800.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>000007</td>\n",
       "      <td>601009</td>\n",
       "      <td>791000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>000007</td>\n",
       "      <td>601336</td>\n",
       "      <td>680040.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>000007</td>\n",
       "      <td>601328</td>\n",
       "      <td>632000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>000007</td>\n",
       "      <td>000776</td>\n",
       "      <td>569400.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>000007</td>\n",
       "      <td>601688</td>\n",
       "      <td>565500.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>000007</td>\n",
       "      <td>601318</td>\n",
       "      <td>541600.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>000008</td>\n",
       "      <td>002460</td>\n",
       "      <td>453960.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>000008</td>\n",
       "      <td>601012</td>\n",
       "      <td>351282.40</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>000008</td>\n",
       "      <td>300136</td>\n",
       "      <td>327600.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>000008</td>\n",
       "      <td>600487</td>\n",
       "      <td>326800.00</td>\n",
       "      <td>通信</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>000008</td>\n",
       "      <td>600516</td>\n",
       "      <td>314665.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>000008</td>\n",
       "      <td>603799</td>\n",
       "      <td>265263.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>000008</td>\n",
       "      <td>600525</td>\n",
       "      <td>262680.00</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>000008</td>\n",
       "      <td>002340</td>\n",
       "      <td>231741.60</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>000008</td>\n",
       "      <td>002405</td>\n",
       "      <td>230580.00</td>\n",
       "      <td>计算机</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>000008</td>\n",
       "      <td>600219</td>\n",
       "      <td>221844.00</td>\n",
       "      <td>有色金属</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>000011</td>\n",
       "      <td>600690</td>\n",
       "      <td>178062000.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>000011</td>\n",
       "      <td>600019</td>\n",
       "      <td>126368142.76</td>\n",
       "      <td>钢铁</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>000011</td>\n",
       "      <td>000333</td>\n",
       "      <td>124335237.69</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>000011</td>\n",
       "      <td>000568</td>\n",
       "      <td>117802650.90</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>000011</td>\n",
       "      <td>000963</td>\n",
       "      <td>112857172.54</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>000011</td>\n",
       "      <td>600009</td>\n",
       "      <td>111648400.74</td>\n",
       "      <td>交通运输</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>000011</td>\n",
       "      <td>600004</td>\n",
       "      <td>108839121.93</td>\n",
       "      <td>交通运输</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>000011</td>\n",
       "      <td>000858</td>\n",
       "      <td>108832000.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>000011</td>\n",
       "      <td>600036</td>\n",
       "      <td>102197521.65</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>000011</td>\n",
       "      <td>600309</td>\n",
       "      <td>96102000.00</td>\n",
       "      <td>化工</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>000014</td>\n",
       "      <td>601336</td>\n",
       "      <td>5166887.25</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38768</th>\n",
       "      <td>740101</td>\n",
       "      <td>600519</td>\n",
       "      <td>4501397.44</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38769</th>\n",
       "      <td>740101</td>\n",
       "      <td>000333</td>\n",
       "      <td>3407579.28</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38770</th>\n",
       "      <td>740101</td>\n",
       "      <td>000651</td>\n",
       "      <td>3135580.70</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38771</th>\n",
       "      <td>740101</td>\n",
       "      <td>600887</td>\n",
       "      <td>2852575.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38772</th>\n",
       "      <td>740101</td>\n",
       "      <td>601668</td>\n",
       "      <td>2353964.80</td>\n",
       "      <td>建筑装饰</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38773</th>\n",
       "      <td>740101</td>\n",
       "      <td>002415</td>\n",
       "      <td>2026624.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38774</th>\n",
       "      <td>740101</td>\n",
       "      <td>600104</td>\n",
       "      <td>1924521.93</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38775</th>\n",
       "      <td>740101</td>\n",
       "      <td>000858</td>\n",
       "      <td>1867614.40</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38776</th>\n",
       "      <td>740101</td>\n",
       "      <td>000725</td>\n",
       "      <td>1785269.20</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38777</th>\n",
       "      <td>740101</td>\n",
       "      <td>600276</td>\n",
       "      <td>1735213.22</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38778</th>\n",
       "      <td>750001</td>\n",
       "      <td>300115</td>\n",
       "      <td>4967086.74</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38779</th>\n",
       "      <td>750001</td>\n",
       "      <td>600487</td>\n",
       "      <td>4332198.40</td>\n",
       "      <td>通信</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38780</th>\n",
       "      <td>750001</td>\n",
       "      <td>600581</td>\n",
       "      <td>4158150.00</td>\n",
       "      <td>钢铁</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38781</th>\n",
       "      <td>750001</td>\n",
       "      <td>002024</td>\n",
       "      <td>4087200.00</td>\n",
       "      <td>商业贸易</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38782</th>\n",
       "      <td>750001</td>\n",
       "      <td>002008</td>\n",
       "      <td>3941440.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38783</th>\n",
       "      <td>750001</td>\n",
       "      <td>000488</td>\n",
       "      <td>3379803.11</td>\n",
       "      <td>轻工制造</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38784</th>\n",
       "      <td>750001</td>\n",
       "      <td>002530</td>\n",
       "      <td>3218750.00</td>\n",
       "      <td>机械设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38785</th>\n",
       "      <td>750001</td>\n",
       "      <td>300296</td>\n",
       "      <td>2592559.45</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38786</th>\n",
       "      <td>750001</td>\n",
       "      <td>300145</td>\n",
       "      <td>2540859.48</td>\n",
       "      <td>机械设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38787</th>\n",
       "      <td>750001</td>\n",
       "      <td>002128</td>\n",
       "      <td>2506517.00</td>\n",
       "      <td>采掘</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38788</th>\n",
       "      <td>750005</td>\n",
       "      <td>600487</td>\n",
       "      <td>5504000.00</td>\n",
       "      <td>通信</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38789</th>\n",
       "      <td>750005</td>\n",
       "      <td>600887</td>\n",
       "      <td>5500000.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38790</th>\n",
       "      <td>750005</td>\n",
       "      <td>600036</td>\n",
       "      <td>4611775.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38791</th>\n",
       "      <td>750005</td>\n",
       "      <td>601799</td>\n",
       "      <td>4235550.00</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38792</th>\n",
       "      <td>750005</td>\n",
       "      <td>601088</td>\n",
       "      <td>4185906.00</td>\n",
       "      <td>采掘</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38793</th>\n",
       "      <td>750005</td>\n",
       "      <td>600138</td>\n",
       "      <td>4114560.00</td>\n",
       "      <td>休闲服务</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38794</th>\n",
       "      <td>750005</td>\n",
       "      <td>600519</td>\n",
       "      <td>3623480.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38795</th>\n",
       "      <td>750005</td>\n",
       "      <td>600028</td>\n",
       "      <td>3540000.00</td>\n",
       "      <td>化工</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38796</th>\n",
       "      <td>750005</td>\n",
       "      <td>601012</td>\n",
       "      <td>3241700.00</td>\n",
       "      <td>电气设备</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38797</th>\n",
       "      <td>750005</td>\n",
       "      <td>600066</td>\n",
       "      <td>2400960.00</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38798</th>\n",
       "      <td>762001</td>\n",
       "      <td>002185</td>\n",
       "      <td>20974077.10</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38799</th>\n",
       "      <td>762001</td>\n",
       "      <td>000963</td>\n",
       "      <td>19626037.20</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38800</th>\n",
       "      <td>762001</td>\n",
       "      <td>601688</td>\n",
       "      <td>18096000.00</td>\n",
       "      <td>非银金融</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38801</th>\n",
       "      <td>762001</td>\n",
       "      <td>000001</td>\n",
       "      <td>17776000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38802</th>\n",
       "      <td>762001</td>\n",
       "      <td>600887</td>\n",
       "      <td>16500000.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38803</th>\n",
       "      <td>762001</td>\n",
       "      <td>601288</td>\n",
       "      <td>15280000.00</td>\n",
       "      <td>银行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38804</th>\n",
       "      <td>762001</td>\n",
       "      <td>000858</td>\n",
       "      <td>14892800.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38805</th>\n",
       "      <td>762001</td>\n",
       "      <td>000998</td>\n",
       "      <td>14769274.00</td>\n",
       "      <td>农林牧渔</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38806</th>\n",
       "      <td>762001</td>\n",
       "      <td>600585</td>\n",
       "      <td>13733500.00</td>\n",
       "      <td>建筑材料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38807</th>\n",
       "      <td>762001</td>\n",
       "      <td>300296</td>\n",
       "      <td>12090000.00</td>\n",
       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38808</th>\n",
       "      <td>770001</td>\n",
       "      <td>600519</td>\n",
       "      <td>3105840.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38809</th>\n",
       "      <td>770001</td>\n",
       "      <td>000333</td>\n",
       "      <td>1546650.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38810</th>\n",
       "      <td>770001</td>\n",
       "      <td>000858</td>\n",
       "      <td>1546560.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38811</th>\n",
       "      <td>770001</td>\n",
       "      <td>002572</td>\n",
       "      <td>1512000.00</td>\n",
       "      <td>轻工制造</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38812</th>\n",
       "      <td>770001</td>\n",
       "      <td>600066</td>\n",
       "      <td>1476000.00</td>\n",
       "      <td>汽车</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38813</th>\n",
       "      <td>770001</td>\n",
       "      <td>002372</td>\n",
       "      <td>1384000.00</td>\n",
       "      <td>建筑材料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38814</th>\n",
       "      <td>770001</td>\n",
       "      <td>000423</td>\n",
       "      <td>1298600.00</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38815</th>\n",
       "      <td>770001</td>\n",
       "      <td>603288</td>\n",
       "      <td>1279530.00</td>\n",
       "      <td>食品饮料</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38816</th>\n",
       "      <td>770001</td>\n",
       "      <td>002001</td>\n",
       "      <td>1278500.00</td>\n",
       "      <td>医药生物</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38817</th>\n",
       "      <td>770001</td>\n",
       "      <td>002508</td>\n",
       "      <td>1267500.00</td>\n",
       "      <td>家用电器</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38818 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ticker holdingTicker   marketValue industryName1\n",
       "0      000001        002236  237401519.41            电子\n",
       "1      000001        000568  216279076.20          食品饮料\n",
       "2      000001        300156  160320000.00          公用事业\n",
       "3      000001        603799  153879981.00          有色金属\n",
       "4      000001        600056  151963791.62          医药生物\n",
       "5      000001        601988  138394013.60            银行\n",
       "6      000001        000858  131744515.52          食品饮料\n",
       "7      000001        300477  119755628.76          电气设备\n",
       "8      000001        601166  105048853.00            银行\n",
       "9      000001        600779  102455696.22          食品饮料\n",
       "10     000003        600622    1978000.00           房地产\n",
       "11     000003        600884    1930106.52            电子\n",
       "12     000003        600036    1277500.00            银行\n",
       "13     000003        600060     157100.00          家用电器\n",
       "14     000004        600622    1978000.00           房地产\n",
       "15     000004        600884    1930106.52            电子\n",
       "16     000004        600036    1277500.00            银行\n",
       "17     000004        600060     157100.00          家用电器\n",
       "18     000005        002241    1277144.00            电子\n",
       "19     000007        600000    1287000.00            银行\n",
       "20     000007        600036    1277500.00            银行\n",
       "21     000007        601601    1034040.00          非银金融\n",
       "22     000007        000001     888800.00            银行\n",
       "23     000007        601009     791000.00            银行\n",
       "24     000007        601336     680040.00          非银金融\n",
       "25     000007        601328     632000.00            银行\n",
       "26     000007        000776     569400.00          非银金融\n",
       "27     000007        601688     565500.00          非银金融\n",
       "28     000007        601318     541600.00          非银金融\n",
       "29     000008        002460     453960.00          有色金属\n",
       "30     000008        601012     351282.40          电气设备\n",
       "31     000008        300136     327600.00            电子\n",
       "32     000008        600487     326800.00            通信\n",
       "33     000008        600516     314665.00          有色金属\n",
       "34     000008        603799     265263.00          有色金属\n",
       "35     000008        600525     262680.00          电气设备\n",
       "36     000008        002340     231741.60          有色金属\n",
       "37     000008        002405     230580.00           计算机\n",
       "38     000008        600219     221844.00          有色金属\n",
       "39     000011        600690  178062000.00          家用电器\n",
       "40     000011        600019  126368142.76            钢铁\n",
       "41     000011        000333  124335237.69          家用电器\n",
       "42     000011        000568  117802650.90          食品饮料\n",
       "43     000011        000963  112857172.54          医药生物\n",
       "44     000011        600009  111648400.74          交通运输\n",
       "45     000011        600004  108839121.93          交通运输\n",
       "46     000011        000858  108832000.00          食品饮料\n",
       "47     000011        600036  102197521.65            银行\n",
       "48     000011        600309   96102000.00            化工\n",
       "49     000014        601336    5166887.25          非银金融\n",
       "...       ...           ...           ...           ...\n",
       "38768  740101        600519    4501397.44          食品饮料\n",
       "38769  740101        000333    3407579.28          家用电器\n",
       "38770  740101        000651    3135580.70          家用电器\n",
       "38771  740101        600887    2852575.00          食品饮料\n",
       "38772  740101        601668    2353964.80          建筑装饰\n",
       "38773  740101        002415    2026624.00            电子\n",
       "38774  740101        600104    1924521.93            汽车\n",
       "38775  740101        000858    1867614.40          食品饮料\n",
       "38776  740101        000725    1785269.20            电子\n",
       "38777  740101        600276    1735213.22          医药生物\n",
       "38778  750001        300115    4967086.74            电子\n",
       "38779  750001        600487    4332198.40            通信\n",
       "38780  750001        600581    4158150.00            钢铁\n",
       "38781  750001        002024    4087200.00          商业贸易\n",
       "38782  750001        002008    3941440.00            电子\n",
       "38783  750001        000488    3379803.11          轻工制造\n",
       "38784  750001        002530    3218750.00          机械设备\n",
       "38785  750001        300296    2592559.45            电子\n",
       "38786  750001        300145    2540859.48          机械设备\n",
       "38787  750001        002128    2506517.00            采掘\n",
       "38788  750005        600487    5504000.00            通信\n",
       "38789  750005        600887    5500000.00          食品饮料\n",
       "38790  750005        600036    4611775.00            银行\n",
       "38791  750005        601799    4235550.00            汽车\n",
       "38792  750005        601088    4185906.00            采掘\n",
       "38793  750005        600138    4114560.00          休闲服务\n",
       "38794  750005        600519    3623480.00          食品饮料\n",
       "38795  750005        600028    3540000.00            化工\n",
       "38796  750005        601012    3241700.00          电气设备\n",
       "38797  750005        600066    2400960.00            汽车\n",
       "38798  762001        002185   20974077.10            电子\n",
       "38799  762001        000963   19626037.20          医药生物\n",
       "38800  762001        601688   18096000.00          非银金融\n",
       "38801  762001        000001   17776000.00            银行\n",
       "38802  762001        600887   16500000.00          食品饮料\n",
       "38803  762001        601288   15280000.00            银行\n",
       "38804  762001        000858   14892800.00          食品饮料\n",
       "38805  762001        000998   14769274.00          农林牧渔\n",
       "38806  762001        600585   13733500.00          建筑材料\n",
       "38807  762001        300296   12090000.00            电子\n",
       "38808  770001        600519    3105840.00          食品饮料\n",
       "38809  770001        000333    1546650.00          家用电器\n",
       "38810  770001        000858    1546560.00          食品饮料\n",
       "38811  770001        002572    1512000.00          轻工制造\n",
       "38812  770001        600066    1476000.00            汽车\n",
       "38813  770001        002372    1384000.00          建筑材料\n",
       "38814  770001        000423    1298600.00          医药生物\n",
       "38815  770001        603288    1279530.00          食品饮料\n",
       "38816  770001        002001    1278500.00          医药生物\n",
       "38817  770001        002508    1267500.00          家用电器\n",
       "\n",
       "[38818 rows x 4 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>holdingTicker</th>\n",
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       "      <td>10</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>700003</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>700004</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>710001</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>710302</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>720001</th>\n",
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       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>720003</th>\n",
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       "    <tr>\n",
       "      <th>730001</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730002</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740001</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740101</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750001</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>770001</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4068 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        holdingTicker\n",
       "ticker               \n",
       "000001             10\n",
       "000003              4\n",
       "000004              4\n",
       "000005              1\n",
       "000007             10\n",
       "000008             10\n",
       "000011             10\n",
       "000014              1\n",
       "000017             10\n",
       "000020             10\n",
       "000021             10\n",
       "000026              1\n",
       "000027              1\n",
       "000028             10\n",
       "000029             10\n",
       "000030             10\n",
       "000031             10\n",
       "000039             10\n",
       "000042             10\n",
       "000045             10\n",
       "000046             10\n",
       "000047              2\n",
       "000048              2\n",
       "000051             10\n",
       "000054              6\n",
       "000056             10\n",
       "000057             10\n",
       "000059             10\n",
       "000061             10\n",
       "000062             10\n",
       "000063             10\n",
       "000065             10\n",
       "000066             10\n",
       "000067             10\n",
       "000068             10\n",
       "000072             10\n",
       "000073             10\n",
       "000082             10\n",
       "000083             10\n",
       "000107             10\n",
       "000109             10\n",
       "000117             10\n",
       "000118             10\n",
       "000119             10\n",
       "000120             10\n",
       "000121             10\n",
       "000124             10\n",
       "000125             10\n",
       "000126             10\n",
       "000127             10\n",
       "...               ...\n",
       "673020             10\n",
       "673030             10\n",
       "673040             10\n",
       "673043             10\n",
       "673050              6\n",
       "673060             10\n",
       "673071             10\n",
       "673073             10\n",
       "673081             10\n",
       "673083             10\n",
       "673090             10\n",
       "673100             10\n",
       "673120             10\n",
       "675011             10\n",
       "675013             10\n",
       "675081             10\n",
       "675083             10\n",
       "680001              1\n",
       "688888             10\n",
       "690001             10\n",
       "690002             10\n",
       "690003             10\n",
       "690004             10\n",
       "690005             10\n",
       "690006             10\n",
       "690007             10\n",
       "690008             10\n",
       "690009             10\n",
       "690011             10\n",
       "690202             10\n",
       "690206             10\n",
       "700001             10\n",
       "700002             10\n",
       "700003             10\n",
       "700004             10\n",
       "710001             10\n",
       "710002             10\n",
       "710301             10\n",
       "710302             10\n",
       "720001             10\n",
       "720002             10\n",
       "720003             10\n",
       "730001             10\n",
       "730002             10\n",
       "740001             10\n",
       "740101             10\n",
       "750001             10\n",
       "750005             10\n",
       "762001             10\n",
       "770001             10\n",
       "\n",
       "[4068 rows x 1 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['holdingTicker']].groupby(df['ticker']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>holdingTicker</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industryName1</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>银行</th>\n",
       "      <td>4666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>电子</th>\n",
       "      <td>3850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>食品饮料</th>\n",
       "      <td>3539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>非银金融</th>\n",
       "      <td>3306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>医药生物</th>\n",
       "      <td>2950</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               holdingTicker\n",
       "industryName1               \n",
       "银行                      4666\n",
       "电子                      3850\n",
       "食品饮料                    3539\n",
       "非银金融                    3306\n",
       "医药生物                    2950"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['holdingTicker']].groupby(df['industryName1']).count().sort_values('holdingTicker', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>marketValue</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ticker</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>510050</th>\n",
       "      <td>1.8185643e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>001683</th>\n",
       "      <td>9.2226736e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>001772</th>\n",
       "      <td>7.9835313e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150201</th>\n",
       "      <td>7.6500959e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150200</th>\n",
       "      <td>7.6500959e+09</td>\n",
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      ],
      "text/plain": [
       "          marketValue\n",
       "ticker               \n",
       "510050  1.8185643e+10\n",
       "001683  9.2226736e+09\n",
       "001772  7.9835313e+09\n",
       "150201  7.6500959e+09\n",
       "150200  7.6500959e+09"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['marketValue']].groupby(df['ticker']).sum().sort_values('marketValue', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>marketValue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237401519.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>216279076.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>160320000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>153879981.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>151963791.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>138394013.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>131744515.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>119755628.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>105048853.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>102455696.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1978000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1930106.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1277500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>157100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1978000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1930106.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1277500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>157100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1277144.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1287000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1277500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1034040.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>888800.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>791000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>680040.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>632000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>569400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>565500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>541600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>453960.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>351282.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>327600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>326800.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>314665.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>265263.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>262680.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>231741.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>230580.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>221844.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>178062000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>126368142.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>124335237.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>117802650.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>112857172.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>111648400.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>108839121.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>108832000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>102197521.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>96102000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5166887.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38768</th>\n",
       "      <td>4501397.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38769</th>\n",
       "      <td>3407579.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38770</th>\n",
       "      <td>3135580.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38771</th>\n",
       "      <td>2852575.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38772</th>\n",
       "      <td>2353964.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38773</th>\n",
       "      <td>2026624.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38774</th>\n",
       "      <td>1924521.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38775</th>\n",
       "      <td>1867614.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38776</th>\n",
       "      <td>1785269.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38777</th>\n",
       "      <td>1735213.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38778</th>\n",
       "      <td>4967086.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38779</th>\n",
       "      <td>4332198.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38780</th>\n",
       "      <td>4158150.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38781</th>\n",
       "      <td>4087200.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38782</th>\n",
       "      <td>3941440.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38783</th>\n",
       "      <td>3379803.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38784</th>\n",
       "      <td>3218750.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38785</th>\n",
       "      <td>2592559.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38786</th>\n",
       "      <td>2540859.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38787</th>\n",
       "      <td>2506517.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38788</th>\n",
       "      <td>5504000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38789</th>\n",
       "      <td>5500000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38790</th>\n",
       "      <td>4611775.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38791</th>\n",
       "      <td>4235550.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38792</th>\n",
       "      <td>4185906.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38793</th>\n",
       "      <td>4114560.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38794</th>\n",
       "      <td>3623480.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38795</th>\n",
       "      <td>3540000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38796</th>\n",
       "      <td>3241700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38797</th>\n",
       "      <td>2400960.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38798</th>\n",
       "      <td>20974077.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38799</th>\n",
       "      <td>19626037.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38800</th>\n",
       "      <td>18096000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38801</th>\n",
       "      <td>17776000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38802</th>\n",
       "      <td>16500000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38803</th>\n",
       "      <td>15280000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38804</th>\n",
       "      <td>14892800.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38805</th>\n",
       "      <td>14769274.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38806</th>\n",
       "      <td>13733500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38807</th>\n",
       "      <td>12090000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38808</th>\n",
       "      <td>3105840.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38809</th>\n",
       "      <td>1546650.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38810</th>\n",
       "      <td>1546560.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38811</th>\n",
       "      <td>1512000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38812</th>\n",
       "      <td>1476000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38813</th>\n",
       "      <td>1384000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38814</th>\n",
       "      <td>1298600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38815</th>\n",
       "      <td>1279530.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38816</th>\n",
       "      <td>1278500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38817</th>\n",
       "      <td>1267500.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38818 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        marketValue\n",
       "0      237401519.41\n",
       "1      216279076.20\n",
       "2      160320000.00\n",
       "3      153879981.00\n",
       "4      151963791.62\n",
       "5      138394013.60\n",
       "6      131744515.52\n",
       "7      119755628.76\n",
       "8      105048853.00\n",
       "9      102455696.22\n",
       "10       1978000.00\n",
       "11       1930106.52\n",
       "12       1277500.00\n",
       "13        157100.00\n",
       "14       1978000.00\n",
       "15       1930106.52\n",
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       "...             ...\n",
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       "\n",
       "[38818 rows x 1 columns]"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['marketValue']]"
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       "Name: ticker, Length: 38818, dtype: object"
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     "execution_count": 108,
     "metadata": {},
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    "df['ticker']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "def t_range(arr):\n",
    "    return arr.max() - arr.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "         marketValue\n",
       "ticker              \n",
       "000001  134945823.19\n",
       "000003    1820900.00\n",
       "000004    1820900.00\n",
       "000005          0.00\n",
       "000007     745400.00"
      ]
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     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df[['marketValue']].groupby(df['ticker']).agg(t_range).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    </tr>\n",
       "    <tr>\n",
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       "    <tr>\n",
       "      <th>000007</th>\n",
       "      <td>8.2668800e+06</td>\n",
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      ],
      "text/plain": [
       "          marketValue                            \n",
       "                  sum           max       t_range\n",
       "ticker                                           \n",
       "000001  1.5172431e+09  237401519.41  134945823.19\n",
       "000003  5.3427065e+06    1978000.00    1820900.00\n",
       "000004  5.3427065e+06    1978000.00    1820900.00\n",
       "000005  1.2771440e+06    1277144.00          0.00\n",
       "000007  8.2668800e+06    1287000.00     745400.00"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['marketValue']].groupby(df['ticker']).agg(['sum', 'max', t_range]).head()\n",
    "\n",
    "# 按照　ticker 列，对　markerValue列中的数据进行分组，然后计算各个组中的　值　"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "虽然 agg()的功能己经很强大了 , 但是 仍 然有局限。细 心 的读者可能已 经发现了 , agg()\n",
    "返回的只能是一个标量,如果我 们 想返回 - 个 DataFrame , 使用 agg() 就会束手 无策。不过\n",
    "不用担 心 ,我们可以使用对象更为广泛的分组运算方法一- appl y () 函数 。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>000001</td>\n",
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       "    </tr>\n",
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       "      <th>2</th>\n",
       "      <td>000001</td>\n",
       "      <td>300156</td>\n",
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       "      <td>公用事业</td>\n",
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       "      <th rowspan=\"3\" valign=\"top\">000003</th>\n",
       "      <th>10</th>\n",
       "      <td>000003</td>\n",
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       "      <td>1978000.00</td>\n",
       "      <td>房地产</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000003</td>\n",
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       "      <td>电子</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>000003</td>\n",
       "      <td>600036</td>\n",
       "      <td>1277500.00</td>\n",
       "      <td>银行</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "           ticker holdingTicker   marketValue industryName1\n",
       "ticker                                                     \n",
       "000001 0   000001        002236  237401519.41            电子\n",
       "       1   000001        000568  216279076.20          食品饮料\n",
       "       2   000001        300156  160320000.00          公用事业\n",
       "000003 10  000003        600622    1978000.00           房地产\n",
       "       11  000003        600884    1930106.52            电子\n",
       "       12  000003        600036    1277500.00            银行"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('ticker').apply(lambda x: x[:3]).head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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